6 citations · 25 across the 15 of their papers we have counts for
5 papers · 1 filter
Privacy-Preserving Record Linkage
Dinusha Vatsalan, Dimitrios Karapiperis, Vassilios S. Verykios
Given several databases containing person-specific data held by different organizations, Privacy-Preserving Record Linkage (PPRL) aims to identify and link records that correspond…
Privacy-preserving Deep Learning based Record Linkage
Thilina Ranbaduge, Dinusha Vatsalan, Ming Ding
Deep learning-based linkage of records across different databases is becoming increasingly useful in data integration and mining applications to discover new insights from multiple…
Local Differentially Private Fuzzy Counting in Stream Data using Probabilistic Data Structure
Dinusha Vatsalan, Raghav Bhaskar, Mohamed Ali Kaafar
Privacy-preserving estimation of counts of items in streaming data finds applications in several real-world scenarios including word auto-correction and traffic management applicat…
Fairness and Cost Constrained Privacy-Aware Record Linkage
Nan Wu, Dinusha Vatsalan, Sunny Verma +1
Record linkage algorithms match and link records from different databases that refer to the same real-world entity based on direct and/or quasi-identifiers, such as name, address,…
Privacy Preserving Release of Mobile Sensor Data
Rahat Masood, Wing Yan Cheng, Dinusha Vatsalan +3
Sensors embedded in mobile smart devices can monitor users' activity with high accuracy to provide a variety of services to end-users ranging from precise geolocation, health monit…